Amirreza Mahbod
Amirreza Mahbod
Medical University of Vienna, KTH Royal Institute of Technology
Overená e-mailová adresa na: - Domovská stránka
Citované v
Citované v
Skin lesion classification using hybrid deep neural networks
A Mahbod, G Schaefer, C Wang, R Ecker, I Ellinge
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Objective evaluation of multiple sclerosis lesion segmentation using a data management and processing infrastructure
O Commowick, A Istace, M Kain, B Laurent, F Leray, M Simon, SC Pop, ...
Scientific reports 8 (1), 1-17, 2018
Fusing fine-tuned deep features for skin lesion classification
A Mahbod, G Schaefer, I Ellinger, R Ecker, A Pitiot, C Wang
Computerized Medical Imaging and Graphics 71, 19-29, 2019
A multi-organ nucleus segmentation challenge
N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ...
IEEE transactions on medical imaging 39 (5), 1380-1391, 2019
Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification
A Mahbod, G Schaefer, C Wang, G Dorffner, R Ecker, I Ellinger
Computer methods and programs in biomedicine 193, 105475, 2020
Breast cancer histological image classification using fine-tuned deep network fusion
A Mahbod, I Ellinger, R Ecker, Ö Smedby, C Wang
International Conference Image Analysis and Recognition, 754-762, 2018
Automatic Brain Segmentation Using Artificial Neural Networks with Shape Context
A Mahbod, M Chowdhury, Ö Smedby, C Wang
Pattern Recognition Letters 101, 74-79, 2018
A two-stage U-Net algorithm for segmentation of nuclei in H&E-stained tissues
A Mahbod, G Schaefer, I Ellinger, R Ecker, Ö Smedby, C Wang
European Congress on Digital Pathology, 75-82, 2019
The effects of skin lesion segmentation on the performance of dermatoscopic image classification
A Mahbod, P Tschandl, G Langs, R Ecker, I Ellinger
Computer Methods and Programs in Biomedicine 197, 105725, 2020
Automatic Multiple Sclerosis Lesion Segmentation Using Hybrid Artificial Neural Networks
A Mahbod, C Wang, Ö Smedby
Workshop Proceedings of the 1st MICCAI Challenge on Multiple Sclerosis …, 2016
Investigating and exploiting image resolution for transfer learning-based skin lesion classification
A Mahbod, G Schaefer, C Wang, R Ecker, G Dorffner, I Ellinger
2020 25th International Conference on Pattern Recognition (ICPR), 4047-4053, 2021
CryoNuSeg: A dataset for nuclei instance segmentation of cryosectioned H&E-stained histological images
A Mahbod, G Schaefer, B Bancher, C Löw, G Dorffner, R Ecker, I Ellinger
Computers in Biology and Medicine 132, 104349, 2021
Structural Brain MRI Segmentation Using Machine Learning Technique
A Mahbod
School of Technology and Health, KTH Royal Institute of Technology …, 2016
Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks
A Mahbod, G Schaefer, R Ecker, I Ellinger
Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021
MoNuSAC2020: A Multi-organ Nuclei Segmentation and Classification Challenge
R Verma, N Kumar, A Patil, NC Kurian, S Rane, S Graham, QD Vu, ...
IEEE Transactions on Medical Imaging, 2021
Investigating the Impact of the Bit Depth of Fluorescence-Stained Images on the Performance of Deep Learning-Based Nuclei Instance Segmentation
A Mahbod, G Schaefer, C Löw, G Dorffner, R Ecker, I Ellinger
Diagnostics 11 (6), 967, 2021
Towards Improvement of Automated Segmentation and Classification of Tissues and Nuclei in Microscopic Images Using Deep Learning Approaches
A Mahbod
Medical University of Vienna, 2020
Comparison of FBP and Iterative Methods
A Mahbod, E Tsakiraki
Comparative study of different signal processing algorithms for evaluating changes in Heart Rate Variability after biofeedback session
ES Tsakiraki, S Riegler, A Mahbod
Sequential U-Net-Based Models for Segmentation and Classification of Nuclei in H&E-Stained Tissues
A Mahbod, R Ecker, I Ellinger
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–20